Image interpolation implementation using pure python and compare result with Opencv.

The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"

🚀 InterpolatePy: A fast and precise Python library for production-ready trajectory planning, offering 20+ algorithms for C² continuous splines, jerk-limited S-curves, and quaternion interpolation for robotics, animation, and scientific computing.

Python package for Inverse Path-Distance Weighted interpolation

GeoKrige is a Python package designed for spatial interpolation using Kriging Methods. While primarily tailored for geospatial analysis, it is equally applicable to other spatial analysis tasks.

A Python-based Gui that displays live options chain data, and runs an interpolation on the implied volatilities of that data using various techniques. The Gui can interact with the Schwab and Tastytrade APIs to provide live options prices.

Numerical techniques for optimization of artificial Intelligence

A Python-based trading bot designed to identify and trade mispriced options using the Schwab API. The bot automatically submits limit orders on options it detects as mispriced, and once the orders are filled, it delta hedges the positions to manage risk.

Usage of a drone as a mobile receiver and custom written interpolation algorithm allows for a 3dimensional map of the signal strength in the surveyed area

How to plot a 3D surface with python by interpolation

This repo contains code for Applied numerical methods that are taught in engineering undergrad degrees.

Pure-Python implementation of Lagrange interpolation over finite fields.

Several methods for data interpolation and approximation

Python library including some of the most common numerical methods, based on the course "Numerical Methods and Applications (MAT3121)" from Escola Politécnica da Universidade de São Paulo.

Interpolation component for grib2io interfacing to the NCEPLIBS-ip library

Deep.Imager - A Python based app powered by Streamlit! Upscales images using mathematical convolutions and Deep Learning without change/loss in input sharpness

VolSplinesLib is a Python library for interpolating implied volatility surfaces using various volatility models. The library provides tools for fitting and interpolating models to market data, supporting popular methods like RFV, SLV, SABR, and SVI.

Interpolate curves between given points on a plane by a series of uniformly accelerated motions.

My python implementation of different Computational Methods and Applications.

Toolbox for interpolating from an uneven grid